mirror of https://github.com/explosion/spaCy.git
40 lines
1.2 KiB
Python
40 lines
1.2 KiB
Python
from .stop_words import STOP_WORDS
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from .tokenizer_exceptions import TOKENIZER_EXCEPTIONS
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from .norm_exceptions import NORM_EXCEPTIONS
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from .lex_attrs import LEX_ATTRS
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from .tag_map import TAG_MAP
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from .lemmatizer import RussianLemmatizer
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from ..tokenizer_exceptions import BASE_EXCEPTIONS
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from ..norm_exceptions import BASE_NORMS
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from ...util import update_exc, add_lookups
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from ...language import Language
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from ...lookups import Lookups
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from ...attrs import LANG, NORM
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class RussianDefaults(Language.Defaults):
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lex_attr_getters = dict(Language.Defaults.lex_attr_getters)
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lex_attr_getters.update(LEX_ATTRS)
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lex_attr_getters[LANG] = lambda text: "ru"
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lex_attr_getters[NORM] = add_lookups(
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Language.Defaults.lex_attr_getters[NORM], BASE_NORMS, NORM_EXCEPTIONS
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)
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tokenizer_exceptions = update_exc(BASE_EXCEPTIONS, TOKENIZER_EXCEPTIONS)
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stop_words = STOP_WORDS
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tag_map = TAG_MAP
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@classmethod
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def create_lemmatizer(cls, nlp=None, lookups=None):
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if lookups is None:
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lookups = Lookups()
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return RussianLemmatizer(lookups)
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class Russian(Language):
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lang = "ru"
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Defaults = RussianDefaults
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__all__ = ["Russian"]
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